Program Overview

Program Duration: September 29 - December 6, 2025

This document outlines the weekly milestones for our Research Experience for Undergraduates (REU) Computational Data Science program. Our cohort includes students working on two primary research tracks:

  • Group 1 (Computer Vision): Marcus Jones, Sydney Johnson, Massai Morgan - Food Classification Application
  • Group 2 (NLP): Seth Thomas, Breosha young - EU Taxonomy Question Answering System

Welcome to our Research Experience for Undergraduates CDS (Computational Data Science) program! Below you’ll find our talented cohort of undergraduate researchers, their academic backgrounds, and the exciting research projects they’re working on this Fall 2025.

Student Profiles

Marcus Jones

Marcus Jones
Marcus Jones

Major: Computer Science Year: Senior

Research Interest: Deep Learning Applications in Culinary Context (Group 1)

Marcus will develop a computer vision application that classifies a photographed food item and returns the predicted label with an associated confidence score. This tool supports reliable, on-device food recognition.

Email:


Seth Thomas

Seth Thomas
Seth Thomas

Major: Computer Science Year: Junior

Research Interest: Question Answering with Deep Learning (Group 2)

Thomas will develop an intelligent question-answering application that processes the European Union (EU) Taxonomy for sustainable activities to respond to user queries on sustainable finance. The system will extract and structure regulatory concepts from the EU Taxonomy, enabling automated, evidence-based answers to finance and sustainability questions.

Email:


Sydney Johnson

Sydney Jhonson
Sydney Jhonson

Major: Computer Information Systems Year: Sophomore

Research Interest: Deep Learning Applications in Culinary Context (Group 1)

Sydney will develop a computer vision application that classifies a photographed food item and returns the predicted label with an associated confidence score. This tool supports reliable, on-device food recognition.

Email:


Massai Morgan

Massai Morgan
Massai Morgan

Major: Computer Information Systems Year: Junior

Research Interest: Question Answering with Deep Learning (Group 1)

Morgan will develop a computer vision application that classifies a photographed food item and returns the predicted label with an associated confidence score. This tool supports reliable, on-device food recognition.

Email:

Breosha Young

Breosha Young
Breosha Young

Major: Computer Information Systems Year: Junior

Research Interest: Deep Learning Applications in Culinary Context (Group 2)

Breosha will develop an intelligent question-answering application that processes the European Union (EU) Taxonomy for sustainable activities to respond to user queries on sustainable finance. The system will extract and structure regulatory concepts from the EU Taxonomy, enabling automated, evidence-based answers to finance and sustainability questions.

Email:

Weekly Milestones

Week 1: Program Orientation & Foundation Setting

Dates: September 29 - October 5, 2025

All Students

Group 1 (Computer Vision - Food Classification)

Group 2 (NLP - Question Answering)

Deliverable: Written summary of literature review findings (2-3 pages) Download the following materials: ### Datasets


Week 2: Data Exploration & Preprocessing

Dates: October 6 - October 12, 2025

All Students

Group 1 (Computer Vision)

Group 2 (NLP)

Deliverable: Data exploration report with visualizations